Single-cell multi-omics profiling of brain organoids
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ABSTRACT:
PROVIDER: PRJEB64170 | ENA |
REPOSITORIES: ENA
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Project description:Organoids were generated from H9 cells. Single cells were sorted from 4-month-old brain organoids differentiated using the telencephalon organoids protocol.
2023-07-10 | E-MTAB-13144 | biostudies-arrayexpress
Project description:Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. These emerging multi-omics techniques help the investigation of cell-type resolved gene regulatory mechanisms. Here, we developed in situ SHERRY after ATAC-seq (ISSAAC-seq), a highly sensitive and flexible single cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single cell. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from thousands of nuclei from the mouse cerebral cortex, we uncovered major and rare cell types together with their cell-type specific regulatory elements and expression profiles. Finally, we revealed distinct dynamics and relationships of transcription and chromatin accessibility during an oligodendrocyte maturation trajectory.
2022-06-15 | E-MTAB-11264 | biostudies-arrayexpress
Project description:Purpose: To reveal multi-omics features and disease subtypes associated with brain metastasis outcomes following craniotomy Methods: We executed a single institution retrospective collection of brain metastasis from patients who were diagnosed with lung, breast, and other primary tumors. The brain metastatic samples were sent for RNA sequencing, proteomic and metabolomic analysis of brain metastasis. The primary outcome was distant brain failure after definitive therapies that included craniotomy resection and radiation to surgical bed. Novel prognostic subtypes were discovered using transcriptomic data and sparse non-negative matrix factorization. Results: We discovered two molecular subtypes showing statistically significant differential prognosis irrespective of tumor subtype. The median survival time of the good and the poor prognostic subtypes were 7.89 and 42.27 months, respectively. Further integrated characterization and analysis of these two distinctive prognostic subtypes using transcriptomic, proteomic, and metabolomic molecular profiles of patients identified key pathways and metabolites. The analysis suggested that immune microenvironment landscape as well as proliferation and migration signaling pathways may be responsible to the observed survival difference. Conclusions: A multi-omics approach to characterization of brain metastasis provides an opportunity to identify clinically impactful biomarkers and associated prognostic subtypes and generate provocative integrative understanding of disease.
2021-01-04 | GSE164150 | GEO
Project description:Multi-Omics Analysis of Brain Metastasis Outcomes Following Craniotomy
| PRJNA689295 | ENA
Project description:Multi-omics profiling of H3-K27M DMGs across different age groups and locations, using fresh single whole cell RNA-seq, scATACseq, spatial in situ sequencing, and WES/targeted exome sequencing.
2022-08-09 | GSE184357 | GEO
Project description:Folate is crucial for diverse biological processes including neurogenesis. While folate supplementation during pregnancy is standard for preventing neural tube defects (NTDs), concerns are growing over the potential risks of excessive maternal intake. In this study, we employed spatial transcriptomics and single-nucleus multi-omics techniques to investigate the impact of increased maternal folate intake on offspring brain development. Elevated folate intake broadly affected gene pathways linked to neurogenesis and neuronal axon myelination across multiple brain regions. Furthermore, specific gene expression alterations related to learning and memory processes emerged in thalamic and ventricular regions. Single-nucleus multi-omics analysis revealed that maturing excitatory neurons in dentate gyrus are particularly vulnerable to suboptimal maternal folate intake. Aberrant gene expression and chromatin accessibility changes were primarily centered on pathways governing ribosomal biogenesis, which is critical for synaptic formation. Altogether, our findings provide novel insights into how excessive maternal folate supplementation affects offspring brain development, notably by influencing gene expression and chromatin accessibility.
2024-07-10 | GSE269544 | GEO
Project description:We constructed a comprehensive multi-omics map of the molecular effects of fluoxetine (an SSRI antidepressant) in 27 rat brain regions. We profiled gene expression (bulk RNA-seq, 210 datasets) and chromatin state (bulk chromatin immunoprecipitation sequencing (ChIP-seq) for the histone marker H3K27ac, 100 datasets) in a broad, unbiased panel of 27 brain regions across the entire rodent brain, in naive and fluoxetine-treated animals. We complemented this approach with single-cell RNA-seq (scRNA-seq) analysis of two brain regions (20 datasets). Remarkably, in the single-cell RNA-seq profiling we observed profound changes in the transcripts of hippocampal dorDG and venDG (~500 DEGs in specific cell types). Using diverse integrative data analysis techniques we characterized the complex and multifaceted effects of fluoxetine on region-specific and cell-type-specific gene regulatory networks and pathways. We leveraged this atlas to identify fluoxetine-modulated genes and gene-regulatory loci, predict enriched motifs that suggest potential upstream regulators, and validate global mechanisms of fluoxetine action.
2022-09-04 | GSE197622 | GEO
Project description:Multi-omics single-cell profiling of surface proteins, gene expression and lymphocyte immune receptors from hospitalised COVID-19 patient peripheral blood immune cells and healthy controls donors. Identification of the coordinated immune cell compositional and state changes in response to SARS-CoV-2 infection or LPS challenge, compared to healthy control immune cells.
2021-03-17 | E-MTAB-10026 | biostudies-arrayexpress
Project description:Single Cell Multi-Omics Profiling Using ISSAAC-seq
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| PRJNA497499 | ENA